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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A data application developer is tasked with building a multi-turn conversational AI application using Streamlit in Snowflake (SiS) that leverages the COMPLETE (SNOWFLAKE. CORTEX) LLM function. To ensure the conversation flows naturally and the LLM maintains context from previous interactions, which of the following is the most appropriate method for handling and passing the conversation history?

A) Option E
B) Option D
C) Option A
D) Option C
E) Option B

2. data scientist is designing a Retrieval Augmented Generation (RAG) system in Snowflake for querying a large knowledge base of internal documents. They plan to store document embeddings and use vector similarity for retrieval. Which statement accurately describes the use of vector functions and associated costs in this RAG architecture?

A) The

B) Storing vector embeddings, created using functions like

C) Snowpark Python fully supports all Snowflake vector similarity functions, including

D) When using

E)

3. An administrator is reviewing their Snowflake bill and observes higher than expected storage and cloud services compute costs for a newly deployed Cortex Search Service. They need to investigate these charges. Which of the following statements correctly explains how these specific costs are incurred or can be monitored for a Cortex Search Service?

A) The 'CORTEX_SEARCH_DAILY_USAGE_HISTORY view provides detailed breakdowns of storage costs per TB and cloud services compute credits incurred, including the 10% daily warehouse cost adjustment.
B) Cloud Services compute costs for Cortex Search are always billed without any adjustments, regardless of the daily virtual warehouse compute costs, because they are considered serverless features.
C) The 'CORTEX_DOCUMENT_PROCESSING_USAGE_HISTORY view is the most appropriate tool to monitor Cortex Search storage and cloud services compute costs, as it tracks all ' Services usage.
D) Storage costs are incurred for both the materialized source query data and the search index data structures, and these costs can be estimated by materializing the source query into a table using the CORTEX_SEARCH_DATA_SCAN table function, and then examining the size of that table.
E) High cloud services compute costs for Cortex Search are primarily driven by the complexity of the embedding model selected and can be optimized by choosing a simpler model.

4.

A)

B)

C)

D)

E)

5. A Snowflake administrator is tasked with ensuring that a specific data science team can only use approved LLMs (mistral-7b, llama3.1-8b) for generative AI tasks within a particular schema, and also needs to enable the use of an LLM in a non-native region due to specific project requirements. Which combination of configurations would meet these requirements?

A) Option E
B) Option D
C) Option A
D) Option C
E) Option B

Solutions: